SEARCH · Search PubMed

Results for “polygenicity”

Search indexed PubMed citations on genomics, clinical trials, systematic reviews and public health. Explore titles, authors and supplied subject terms, then open the PubMed record.

SourceResearch connectionFrom yearThrough year

Quote a phrase for an exact phrase match. Source license links do not imply unrestricted reuse.

At least 1,027 records · Page 57Linked to original sources

PubMed1996

Within birth cohort segregation analyses support recessive inheritance of body mass index in white and African-American families.

OBJECTIVE: We conducted segregation analyses of body mass index within birth cohort to determine whether previously reported support for recessive major gene inheritance in white and African-American families could have been due to higher rates of obesity in offspring than in parents, which are caused by temporal increases in obesity in recent decades. DESIGN: Segregation analysis of family data. MEASUREMENT: The body mass index (BMI), adjusted for effects of gender, linear and non-linear effects of age, education and occupation of head of household, and clinic from which family was ascertained. RESULTS: Segregation analysis results support a recessive mode of major gene inheritance of body mass index, even though we restricted our analysis to siblings born within the same post-1945 cohort. We also found support for substantial polygenic heritability of body mass index, which is consistent with a multigenic heritability. There was no significant heterogeneity between white and African-American families in support for a recessive mixed model. However, some differences in particular parameters were found, with higher gene frequency, lower polygenic heritability and a larger variance associated with the major gene model in African-Americans. CONCLUSION: Our present segregation analysis shows that the recessive pattern, whether due to single or multiple genes, cannot be explained by inter-generational differences in obesity prevalence or family correlation. There was suggestive evidence of a higher major gene frequency and larger gene effect size in African-American families.

Black People↗

PubMed1996

[Analysis of motifs of functional MDG2 sites in assuring its possible molecular functions].

We analyzed the location and possible interaction of motifs of functional sites in a DNA sequence of MDG2 (Dm412) revealed by means of computer context analysis. It was shown that motifs of functional sites in the appropriate location can ensure the basic molecular functions of MDG2: expression of its ORF, transcription, induction of transposition, modification of adjacent genes and polygenes, etc. MDG2 ILTR does not contain the NTCAGTYN motif required for initiation of transcription by RNA polymerase II in the absence of the TATA box and located close to the transcription start site in most gypsy-like retrotransposons of Drosophila. Therefore, MDG2 ILTR appears to contain the classic promoter region for RNA polymerase II, contrary to other retrotransposons of the gypsy group. Enhancers of mobile genetic elements are assumed to determine modification of adjacent genes and polygenes. Excisions and transpositions of mobile elements seem to be induced by external stress factors or physiological factors through a heat-shock system.

Enhancer Elements, Genetic↗

PubMed1996

Recombinant inbred and congenic strains of the rat for genetic analysis of limb morphogenesis.

Recombinant inbred (RI) and congenic strains carrying the polydactyly-luxate syndrome (PLS) provide an experimental model for the analysis of polygenic control of limb development. PLS is determined by a major gene Lx whose phenotypic expression is strongly influenced by the genetic background upon which it operates. The morphometric analysis of the skeleton of front and hind legs has been carried out. The morphotypes of PLS in RI strains exhibit a continuous variability and transgressive variation compared to BN.Lx and SHR.Lx morphotypes, which strongly indicates the polygenic effects on PLS manifestation. Quantitative trait loci (QTL) were searched for through correlation of genetic markers and morphometric traits. The association analysis revealed statistically significant correlations (P < 0.0003) of morphometric traits with two markers on chromosome 4 (Il6 and A2m) associated with the number of front feet and hind feet phalanges, respectively, one marker on chromosome 7 (D7Mit17) associated with the tibia length, and the somatostatin gene on chromosome 11 associated with the number of front feet phalanges. In addition, suggestive associations of morphometric traits with markers on further nine chromosomes have been found (correlation coefficients ranging from 0.5 to 0.6). The verification of all these findings is in progress by means of double congenic strains which, in addition to the Lx gene, carry differential chromosome segments with putative modifiers.

Animals↗

PubMed1997

Are animal models of diabetes relevant to the study of the genetics of non-insulin-dependent diabetes in humans?

Although it is well-recognized that non-insulin-dependent diabetes-mellitus (NIDDM) shown a strong genetic component the search for candidate genes has been very difficult since NIDDM is a complex, heterogeneous, multifactorial syndrome resulting from both genetic susceptibility and environmental risk factors. Therefore, the use of inbred animal models is an essential component of genetic investigations in this field. As these lines are genetically homogeneous, it is possible to direct mating for optimal genetic crosses and control environmental factors. Strains with spontaneous NIDDM may be constituted from animals with one or several genetic mutation(s) transmitted generation to generation or selected from non-diabetic outbred animals by repeated breeding. The ob/ob and db/db mice, which are rodent models of NIDDM and obesity, belong to the first category. Recent studies using the positional cloning approach allowed the mapping of ob gene and identification of its product, leptin, which is a protein secreted by white adipose tissue and involved in the control of food intake. The db gene encodes the leptin receptor. The search for genetic linkage was undertaken in polygenic models, especially the Goto-Kakisaki (GK) rat which was obtained by selective breeding of individuals with glucose intolerance from a non-diabetic Wistar rat colony. Though precise definition of sub-phenotypes of glucose tolerance and insulin secretion, the mapping of microsatellite markers and QTL analysis, it has proved possible to identify many independent loci containing genes regulating glucose homeostasis and insulin secretion. In another polygenic model, the OLETF rat, a locus present on chromosome X was identified. Many complementary approaches in different strains may lead to the identification of candidate genes for NIDDM and help direct the search for candidate genes in humans who show synteny relationships with rodents.

Animals↗

PubMed1997

[Familial aggregation in 91 families of hypercholesterolemic children].

OBJECTIVE: The aim of this study was to evaluate both the importance of the screening strategy and the familial aggregation characteristics of families with hypercholesterolemic children. PATIENTS AND METHODS: Ninety-one families (369 subjects) with one hypercholesterolemic child were studied. In addition to clinical and general biochemical evaluation, lipids including apo A-I and B-100 were examined. LDL was quantified under ultracentrifugation. RESULTS: Among the 91 children studied, 10 (10.99%) suffered heterozygous hypercholesterolemia, while 81 (89.01%) suffered polygenic hypercholesterolemia. Following a diet, polygenic children exhibited normal lipid parameters. In heterozygous children a decrease of 19% for total cholesterol, 19.9% for LDL-cholesterol and 16.3% for apo B were observed. When starting the study, 77.5% of the family members thought that they had normal serum lipid values. At the end of the study it was confirmed that only 28% were really normolipemic, indicating that 49.4% of the individual did not know that they were suffering dyslipemia. The study also showed that fathers exhibited the highest incidence of hypercholesterolemia (80.2%) followed by brothers (65.6%) and mothers (61.5%). Therefore, 69.4% of the individuals studied exhibited dyslipemia. CONCLUSIONS: The screening strategy allows one to diagnose a high percentage (almost 50%) of individuals suffering hypercholesterolemia in families with a child previously diagnosed of this pathology. Moreover, in these families there is a high degree of familiar aggregation of dyslipemia.

Adolescent↗

PubMed1998

Genetic manipulation of insulin action and beta-cell function in mice.

Transgenic and gene targeting approaches have now been applied to a number of genes in order to investigate the metabolic disorders that would result by manipulating insulin action or pancreatic beta-cell function in the mouse. The availability of such mutant mice will allow in the future to develop animal models in which the pathophysiologies resulting from polygenic defects might be reconstituted and studied in detail. Such animal models hopefully will lead to better understanding of complex polygenic diseases such as non-insulin-dependent diabetes mellitus (NIDDM).

Animals↗

PubMed1998

Genetics, aging, and the heart.

Heart disease remains the most frequent cause of death in the general population and is intimately related to aging. Either extreme premature aging or marked longevity may be monogenic, but in most humans aging is a complex polygenic phenomenon. Hypercholesterolemia and hypertension are important factors. Cardiac amyloidosis and vascular elastin degradation may be separate factors. Humans with the greatest longevity are relatively refractory to atherosclerosis. Frequencies of heart deaths among relatives of a heart-death proband without dyslipoproteinemia conform to expectations of a polygenic trait. Careful, attentive medical management of major environmental factors and of heart senescence can result in more successful aging.

Aged↗

PubMed2026

The reporting and handling of missing data in genetic epidemiological studies of mental health in childhood and adolescence: A systematic review.

BACKGROUND: Genetic epidemiological analyses of child and adolescent mental health often use data from prospective longitudinal cohorts. Missingness due to selective attrition is therefore an important potential source of bias in such analyses. Informatively reporting on missingness and taking appropriate steps to handle it in analyses can mitigate this potential bias. Here, we aim to systematically assess how researchers report and address missingness in genetic epidemiological studies of child and adolescent mental health-related outcomes using cohort data. METHODS: We systematically searched the Ovid Medline database for studies published between August 2012 and August 2025, reporting polygenic score, genome-wide association, or Mendelian randomization analyses, of data on children or adolescents participating in cohort studies. We extracted information from eligible studies based on criteria adapted from the strengthening and reporting of observational studies in epidemiology (STROBE) guidelines. RESULTS: A total of 133 eligible studies were included, of which 125 (93.98%) reported the number of complete cases in all waves, while 84 (63.16%) detailed the amount of missingness on all key variables. Most studies used complete case analysis, while 39 studies explicitly reported applying other methods to handle missingness, with multiple imputation (n = 20, 15.04%) being the most common, followed by full information maximum likelihood 10 (8.1%). Only 18 studies (13.53%) reported an assumed missing mechanism along with the method used to address missingness. Full reporting of both the extent and handling of missingness at the item level was rare, occurring in only 5 (3.76%) and 15 (11.28%) studies, respectively, among the 123 studies that used multi-item instruments. CONCLUSION: Best practice recommendations for reporting on missing data handling emphasize the importance of detailing the proportion of missingness, types of mechanisms underpinning missingness, and details of approaches used. Based on this review, these recommendations for proper reporting of missing data are rarely followed in full.

children and adolescents↗

PubMed2025

Protective Effects of Genetic Proxies of Cognitive Reserve in Parkinson's Disease: A Longitudinal Multi-Cohort Study.

BACKGROUND: Resilience factors are crucial in the progression of neurodegenerative diseases. However, it remains unclear whether a genetic predisposition to cognitive reserve influences clinical heterogeneity in the prognosis of Parkinson's disease (PD). OBJECTIVES: The aim is to evaluate the utility of polygenic scores (PGSs) for cognitive reserve proxies, including intelligence (INT), educational attainment (EA), and occupational attainment (OA), in predicting the clinical progression of PD. METHODS: Genetic and clinical data for progression of PD (progression to Hoehn and Yahr stage ≥3, progression to a Montreal Cognitive Assessment score ≤24, and occurrence of psychosis) were obtained from the Accelerating Medicine Partnership Parkinson's Disease database. We conducted multivariate Cox regression analysis, adjusting for relevant covariates, including years of education, variants in APOE, GBA1, LRRK2, and other cognitive reserve-related PGSs. RESULTS: All cognitive reserve-related PGSs significantly reduced the risk of cognitive decline, and EA-PGS (hazard ratio [HR], 0.550; 95% confidence interval [CI], 0.447-0.676; P < 0.001) remained significant after controlling for INT-PGS and OA-PGS. EA-PGS (HR, 0.805; 95% CI, 0.672-0.964; P = 0.019) was significantly associated with better motor prognosis after controlling for other PGSs. OA-PGS was linked to a decreased risk of developing psychosis in PD and remained significant after adjusting for others (HR, 0.784; 95% CI, 0.631-0.975; P = 0.029). CONCLUSIONS: Genetic proxies of cognitive reserve are associated with a reduced risk of cognitive decline, motor progression, and development of psychosis in PD. These findings may enhance our understanding of individual differences in resilience in progression of PD. © 2025 The Author(s). Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

Humans↗

PubMed2026

A single-cell study of transcription and RNA splicing in MDD and ALC.

Major depressive disorder (MDD) and problematic alcohol use (ALC) commonly co-occur, yet the extent, genomic distribution, and biological context of their shared genetic architecture remain incompletely understood. Here, we integrated genome-wide and local genetic architecture analyses with tissue, spatial, single-cell, and multi-omics analyses to characterize the shared genetic basis of MDD and ALC. Across methods, the two phenotypes showed a consistent positive genetic correlation (rg = 0.380-0.582). MiXeR estimated that they shared approximately 5479 variants with non-zero additive genetic effects, with the shared component accounting for a larger proportion of the polygenic architecture of ALC than of MDD. Local analyses further indicated that shared genetic covariance was concentrated in a limited number of genomic segments. At the tissue and cellular levels, genetic signals were primarily associated with central nervous system tissues and neuronal lineages, with additional support for oligodendrocyte-related populations; the two phenotypes also differed in the distribution and within-cell-type heterogeneity of disease-relevance scores. Multi-omics integration prioritized MED19 and ACO2 as candidate genes and highlighted processes related to mitochondrial energy metabolism and synaptic function. These findings refine the genomic, tissue, and cellular context of the shared genetic architecture of MDD and ALC and provide prioritized genomic regions, cell types, and candidate genes for validation in independent populations and functional studies.

Major Depressive Disorder↗

PubMed2026

Advancements in the Understanding of the Genetics of Obsessive-Compulsive Disorder (OCD).

PURPOSE OF REVIEW: This review summarizes recent advances in the genetics of Obsessive-Compulsive Disorder (OCD), their contribution to understanding disorder biology, and implication for clinical translation. RECENT FINDINGS: Recent GWAS identified 30 genome-wide significant loci and prioritized 25 putatively causal genes. Rare variant studies implicated specific genes, including CHD8, CELSR3, SLITRK5, and QRICH1. Evidence from common and rare variants support brain- and immune-related pathways. Genetic overlap with obsessive compulsive symptoms and other psychiatric disorders indicate shared underlying biology. Current evidence is largely based on individuals of European ancestry, although global efforts are underway to improve ancestral diversity in OCD genetics. Given the urgent need for improved treatment, genetically informed clinical translation approaches hold promise, including pharmacogenetics and drug repurposing. Recent advances in OCD genetics support a highly polygenic architecture, implicate specific neuro-biological and immune pathways, and provide new opportunities for clinical translation.

Humans↗

PubMed2025

Non-HLA Genetics and Application to Living Donor Candidates.

PURPOSE OF REVIEW: This review examines the expanding role of non-human leukocyte antigen (non-HLA) genetic factors in kidney transplantation, with a particular focus on their implications for living donor evaluation and outcomes. It emphasizes the potential of genetic testing to improve risk stratification beyond conventional HLA matching, especially for donor candidates with a family history of hereditary kidney disease. RECENT FINDINGS: Non-HLA genetic mismatches, including single nucleotide variants affecting minor histocompatibility antigens, can drive alloimmune responses, leading to graft rejection and failure even in HLA-matched transplants. The presence of non-HLA antibodies further contributes to adverse immunological outcomes. Genetic testing in related living donors can uncover monogenic kidney diseases, enabling early identification of at-risk individuals and enhancing donor safety. While polygenic risk scores and gene panels show promise in predicting complications and guiding post-transplant care, most genome-wide association studies have focused on recipients. There remains a significant gap in understanding how donor-specific genetic factors influence post-donation kidney function and long-term health outcomes. SUMMARY: The integration of non-HLA genetic testing into living donor evaluation supports a precision medicine approach to kidney transplantation, offering improved risk assessment and donor-recipient matching. As the field advances, longitudinal studies and robust data collection, particularly around donor genetics, are essential to optimize transplant outcomes, inform clinical decision-making, and uphold ethical standards in donor care.

genetics↗

PubMed2024

Obesity-enriched gut microbe degrades myo-inositol and promotes lipid absorption.

Numerous studies have reported critical roles for the gut microbiota in obesity. However, the specific microbes that causally contribute to obesity and the underlying mechanisms remain undetermined. Here, we conducted shotgun metagenomic sequencing in a Chinese cohort of 631 obese subjects and 374 normal-weight controls and identified a Megamonas-dominated, enterotype-like cluster enriched in obese subjects. Among this cohort, the presence of Megamonas and polygenic risk exhibited an additive impact on obesity. Megamonas rupellensis possessed genes for myo-inositol degradation, as demonstrated in vitro and in vivo, and the addition of myo-inositol effectively inhibited fatty acid absorption in intestinal organoids. Furthermore, mice colonized with M. rupellensis or E. coli heterologously expressing the myo-inositol-degrading iolG gene exhibited enhanced intestinal lipid absorption, thereby leading to obesity. Altogether, our findings uncover roles for M. rupellensis as a myo-inositol degrader that enhances lipid absorption and obesity, suggesting potential strategies for future obesity management.

Inositol↗

PubMed2026

Pharmacogenomics of antipsychotic-induced weight gain: A systematic review.

BACKGROUND: Antipsychotic-induced weight gain (AIWG) is a major clinical concern, affecting approximately 30% of patients. Clinical predictors explain only part of AIWG risk. Genetic and molecular variations are hypothesized to contribute to susceptibility. The purpose of this review is to summarize recent results to identify replicated and novel findings. STUDY DESIGN: Applying PRISMA guidelines, we searched MEDLINE, Embase, and PsycINFO (May 2018-May 2026) for studies on genetic and molecular associations with AIWG, extending our prior review. Reviews, editorials, and conference abstracts were excluded. We extracted study characteristics (design, diagnosis, antipsychotic exposure, sample size, ancestry, genetic variants, and AIWG outcomes) (e.g., ≥7% weight gain, BMI change). RESULTS: Fifty-three studies met inclusion criteria. In candidate gene studies, the most consistently replicated genes associated with AIWG were observed for DRD2, HTR2C, and MC4R. Multiple novel associations were identified by genome-wide association studies (GWAS) (e.g., MAP2K1, ZDBF2, PEPD), polygenic risk scores (PRS) (e.g., body mass index PRS), gene expression (e.g., CYP3A4, EP300), and epigenetic analyses (e.g., cg12034943 at CRTC1). CONCLUSIONS: Polymorphisms in candidate genes related to neurotransmission and appetite regulation continue to be investigated for associations with AIWG, while novel findings have emerged from GWAS, gene expression, and epigenetic studies. Evidence remains inconsistent due to limited replication, methodological variability, sparse ancestry data, and geographical underrepresentation. No single genetic variant is ready for clinical use, and multi-omic and multi-ancestry models are needed to improve prediction and clinical utility.

Humans↗

PubMed2026

Genetic evidence for causality of late chronotype on metabolic syndrome in East Asians and Europeans.

CONTEXT: The impact of chronotype-defined as an individuals' inherent preference of sleep timing-and its genetic determinants on metabolic syndrome (MetS) has been less studied. OBJECTIVE: This study investigated the causal relationship between late chronotype and MetS using Mendelian randomization (MR) analysis, based on data from the Taiwan Biobank (TWB) and parallel analyses in the UK Biobank (UKB). METHODS: A total of 36,845 participants from TWB served as the discovery cohort, and 235,639 participants from UKB served as the replication cohort. Late chronotype was defined in TWB as a preference for bedtime after midnight, and in UKB as self-report as being an 'evening' person. The association between late chronotype and MetS, along with its components, was evaluated in TWB, and validated in UKB. Genome-wide association analyses for late chronotype were first conducted in TWB and then meta-analyzed with UKB. Polygenic risk scores (PRS) for late chronotype were constructed and tested for association with MetS. Causality between late chronotype and MetS was examined using one-sample MR analysis in TWB and validated in UKB. RESULTS: Late chronotype was significantly associated with MetS, as well as with central obesity, hyperglycemia, and hypertriglyceridemia, in both TWB and UKB (all P < 0.0083, considering Bonferroni correction). The constructed PRS of late chronotype also showed significant associations with MetS and several of its components (several P < 0.0083, considering Bonferroni correction). Findings from the one-sample MR analysis indicated a potential causal effect of late chronotype on MetS. CONCLUSIONS: This study provides evidence of a robust association between late chronotype and MetS across populations of diverse ancestry, including Taiwanese and European.

Humans↗

PubMed2026

Genome-Wide Association Analyses of Bitter Food Preferences Link Genetic Loci to Sensory and Metabolic Pathways.

BACKGROUND: Genetic variation is implicated in individual preferences for bitter-tasting foods. However, previous studies have focused on candidate genes and limited varieties of bitter-tasting foods and have treated food preference scale responses as continuous data. OBJECTIVES: The present investigation aimed to identify genetic variants associated with preferences for bitter-tasting foods using ordinal multinomial regression models in genome-wide association studies (GWAS). In addition, post-GWAS functional annotation and mapping, genetic correlations, and associations with dietary intake were examined. METHODS: Food preference and genome-wide genotyping data were used from the UK Biobank (n = 125,578). Preference data from Likert scale rankings (from 1 to 9) for 12 individual foods were analyzed using ordinal multinomial regression GWAS. In addition, 1 composite continuous variable was created for preference for cruciferous vegetables as a group and analyzed using a linear mixed-model GWAS to enable the calculation of a polygenic score (PGS) for cruciferous vegetable preference. Convergent validity of GWAS results was assessed with dietary intake data for the same food items in the CARTaGENE cohort (n = 8176). Post-GWAS gene-level and pathway-level association analyses were conducted in MAGMA (Multimarker Analysis of GenoMic Annotation). RESULTS: Forty-six single-nucleotide polymorphisms (SNPs) were identified for preferences for 11 bitter-tasting foods at a genome-wide significance level (P < 7.14 × 10-9). Gene-set analysis for enrichment identified pathways related to caffeine metabolism and bitter taste perception for preference of coffee without sugar and grapefruit, respectively. Genes with higher expression in brain tissues showed stronger genetic associations with cruciferous vegetable preference. The PGS for cruciferous vegetable preference was weakly correlated with intake (r = 0.05, P < 0.0001), but individual SNPs were not associated with intake in a consistent manner. CONCLUSIONS: Genetic variation contributes to preferences for bitter-tasting foods among adults, and some links with food intake are detectable. Nevertheless, effect sizes are small and inconsistent, reflecting the multifactorial complexity of food intake.

bitter taste↗

PubMed2026

Unravelling sex differences in the genetic architecture of anxiety.

BACKGROUND: Anxiety disorders show striking sex differences in prevalence, symptoms, and clinical characteristics, shaping how they manifest and are experienced. METHODS: Here, we report the first sex-specific meta-analysis of genome-wide association studies (GWAS) of anxiety, leveraging two of the largest biobank datasets, UK Biobank and All of Us, comprising 85,042 female cases with 196,789 controls and 36,732 male cases with 136,924 controls. Functional annotation, sex-specific polygenic scores (PGS), and genetic correlations were performed to assess genetic differences and functional implications. RESULTS: In females, 21 lead SNPs were significantly associated with anxiety, compared to five in males. Although the genetic correlation between sexes was high, it was significantly different from one, indicating partially distinct genetic architectures. In addition, both the SNP-based observed and liability-scale heritabilities (assuming a 2:1 female-to-male prevalence ratio) were significantly higher in females. Gene-based tests and functional prioritization identified different genes associated with anxiety in females and males. Moreover, genetic correlation analyses revealed stronger associations of female anxiety with attention-deficit/hyperactivity disorder (ADHD) and body mass index (BMI), whereas male anxiety showed stronger correlations with waist-hip-ratio-adjusted BMI. CONCLUSIONS: While the overall genetic architecture of anxiety is largely shared, our findings reveal distinct sex-specific genetic associations and correlations, highlighting the value of analyzing the sexes separately to uncover genetic signals that may be masked in sex-combined samples.

Female↗

PubMed2022

Genetically predicted on-statin LDL response is associated with higher intracerebral haemorrhage risk.

Statins lower low-density lipoprotein cholesterol and are widely used for the prevention of atherosclerotic cardiovascular disease. Whether statin-induced low-density lipoprotein reduction increases risk of intracerebral haemorrhage has been debated for almost two decades. Here, we explored whether genetically predicted on-statin low-density lipoprotein response is associated with intracerebral haemorrhage risk using Mendelian randomization. Using genomic data from randomized trials, we derived a polygenic score from 35 single nucleotide polymorphisms of on-statin low-density lipoprotein response and tested it in the population-based UK Biobank. We extracted statin drug and dose information from primary care data on a subset of 225 195 UK Biobank participants covering a period of 29 years. We validated the effects of the genetic score on longitudinal low-density lipoprotein measurements with generalized mixed models and explored associations with incident intracerebral haemorrhage using Cox regression analysis. Statins were prescribed at least once to 75 973 (31%) of the study participants (mean 57 years, 55% females). Among statin users, mean low-density lipoprotein decreased by 3.45 mg/dl per year [95% confidence interval (CI): (-3.47, -3.42)] over follow-up. A higher genetic score of statin response [1 standard deviation (SD) increment] was associated with significant additional reductions in low-density lipoprotein levels [-0.05 mg/dl per year, (-0.07, -0.02)], showed concordant lipidomic effects on other lipid traits as statin use and was associated with a lower risk for incident myocardial infarction [hazard ratio per SD increment 0.98 95% CI (0.96, 0.99)] and peripheral artery disease [hazard ratio per SD increment 0.93 95% CI (0.87, 0.99)]. Over a 11-year follow-up period, a higher genetically predicted statin response among statin users was associated with higher intracerebral haemorrhage risk in a model adjusting for statin dose [hazard ratio per SD increment 1.16, 95% CI (1.05, 1.28)]. On the contrary, there was no association with intracerebral haemorrhage risk among statin non-users (P = 0.89). These results provide further support for the hypothesis that statin-induced low-density lipoprotein reduction may be causally associated with intracerebral haemorrhage risk. While the net benefit of statins for preventing vascular disease is well-established, these results provide insights about the personalized response to statin intake and the role of pharmacological low-density lipoprotein lowering in the pathogenesis of intracerebral haemorrhage.

Cerebral Hemorrhage↗